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6.S191 Introduction to Deep Learning (January IAP 2020, MIT OCW). Instructors: Alexander Amini and Ava Soleimany.
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Description
This is MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), and we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. (from ocw.mit.edu)
Course content
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- Lecture 01 – Introduction Unlimited
- Lecture 02 – Recurrent Neural Networks and Transformers Unlimited
- Lecture 03 – Convolutional Neural Networks Unlimited
- Lecture 04 – Deep Generative Modeling Unlimited
- Lecture 05 – Reinforcement Learning Unlimited
- Lecture 06 – Deep Learning New Frontiers Unlimited
- Lecture 07 – LiDAR for Autonomous Driving Unlimited
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- Lecture 01 – Introduction Unlimited
- Lecture 02 – Recurrent Neural Networks Unlimited
- Lecture 03 – Convolutional Neural Networks Unlimited
- Lecture 04 – Deep Generative Modeling Unlimited
- Lecture 05 – Reinforcement Learning Unlimited
- Lecture 06 – Deep Learning New Frontiers Unlimited
- Lecture 07 – Evidential Deep Learning and Uncertainty Unlimited
- Lecture 08 – AI Bias and Fairness Unlimited
- Lecture 09 – Deep CPCFG for Information Extraction Unlimited
- Lecture 10 – Taming Dataset Bias via Domain Adaptation Unlimited
- Lecture 11 – Towards AI for 3D Content Creation Unlimited
- Lecture 12 – AI in Healthcare Unlimited
- Lecture 01 – Introduction Unlimited
- Lecture 02 – Recurrent Neural Networks Unlimited
- Lecture 03 – Convolutional Neural Networks Unlimited
- Lecture 04 – Deep Generative Modeling Unlimited
- Lecture 05 – Reinforcement Learning Unlimited
- Lecture 06 – Deep Learning New Frontiers Unlimited
- Lecture 07 – Neurosymbolic AI Unlimited
- Lecture 08 – Generalizable Autonomy for Robot Manipulation Unlimited
- Lecture 09 – Neural Rendering Unlimited
- Lecture 10 – Machine Learning for Scent Unlimited
Instructor
